A modeling paradigm incorporating parametric and non-parametric methods

被引：0
|
作者：
Song, D [1 ]
Wang, Z [1 ]
Marmarelis, VZ [1 ]
Berger, TW [1 ]
机构：
[1] Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA
来源：
PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷
关键词：
non-parametric model; kernel; synapse;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A novel parametric/non-parametric modeling paradigm was defined and used in characterization of synaptic transmission. In this paradigm, parametric and non-parametric techniques were incorporated in a complementary manner. Non-parametric method was used to generalize experimental data and extract system input/output properties. It provided a quantitative and intuitive way to validate a parametric model with respect to general, complete input patterns. Biological processes or mechanisms missed by the conventional parametric modeling approach were revealed and subsequently included into the modified parametric model.
引用
收藏
页码：647 / 650
页数：4
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